no code implementations • 30 Dec 2021 • Benjaphan Sommana, Ukrit Watchareeruetai, Ankush Ganguly, Samuel W. F. Earp, Taya Kitiyakara, Suparee Boonmanunt, Ratchainant Thammasudjarit
In this paper, we present a two-step face mask detection approach consisting of two separate modules: 1) face detection and alignment and 2) face mask classification.
no code implementations • 21 Sep 2021 • Ukrit Watchareeruetai, Benjaphan Sommana, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly, Aubin Samacoits, Samuel W. F. Earp, Nakarin Sritrakool
The proposed framework is a direct coordinate regression approach leveraging a Transformer network to better utilize the spatial information in the feature map.
Ranked #13 on Face Alignment on WFLW
no code implementations • 30 Aug 2021 • Ankush Ganguly, Samuel W. F. Earp
In this paper, we introduce the concept of Variational Inference (VI), a popular method in machine learning that uses optimization techniques to estimate complex probability densities.
no code implementations • 4 Mar 2021 • Samuel W. F. Earp, Aubin Samacoits, Sanjana Jain, Pavit Noinongyao, Siwa Boonpunmongkol
We also show that it is possible to reduce the upscaling complexity by using a mixture of deconvolution and pixel-shuffle layers without impeding localization performance.
no code implementations • 2 Dec 2019 • Samuel W. F. Earp, Pavit Noinongyao, Justin A. Cairns, Ankush Ganguly
Accurate face detection and facial landmark localization are crucial to any face recognition system.